Harvard AM205 video 4.9 - Quasi-Newton methods
9:53
Harvard AM205 video 4.10 - Sequential quadratic programming
44:26
Lecture 4 Part 2: Nonlinear Root Finding, Optimization, and Adjoint Gradient Methods
12:58
Understanding scipy.minimize part 1: The BFGS algorithm
45:01
[CFD] Conjugate Gradient for CFD (Part 1): Background and Steepest Descent
43:55
8.2 Quasi Newton and BFGS
27:45
Harvard AM205 video 5.9 - Krylov methods: Arnoldi iteration and Lanczos interation
32:22
Gradient descent, Newton's method
7:39